Abstract
This paper illustrates a new approach to evaluating portfolios in the context of multiple performance measures. The approach is based upon linear programming techniques and identifies the n-dimensional efficient portfolio frontier. An illustrative example with commodity trading advisor (CTA) returns shows that benchmarks can be identified for each individual portfolio.
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Portfolio Evaluation and Benchmark Selection
